Associate

Clever Devices Ltd.Woodbury, NY

About The Position

Clever Devices, a leader in transit technology, aims to contribute meaningfully to worldwide mobility by providing exciting technology that improves the quality of mobility in communities globally. The company is seeking a recent college graduate with a Data Science degree to join their team. The Associate, Data Science will be responsible for performing data analysis for Clever Devices customers, focusing on specific products like Clever Reports and R+, particularly as they relate to transportation operations, metrics, and performance measures. This role involves collaborating with both internal teams and external customers to develop insightful analytics that inform business decisions. Additionally, the position includes support for troubleshooting, report/dashboard creation, machine learning, causality analysis, and general data analysis. Being customer-facing, a strong customer focus is essential for this role.

Requirements

  • B.S in Data Science, Applied Mathematics or related field.
  • Must be able to clearly communicate across many levels of the organization and have a comfort level interacting with external customers.
  • Basic and educational level understanding of statistical programming (i.e. Python, R, SAS, MATLAB, etc).
  • Prior internship or other work experience in a corporate environment.
  • Basic understanding of technical product development.
  • Personal or professional interest in public transportation

Nice To Haves

  • Master’s degree a plus.

Responsibilities

  • Review and analyze large amounts of raw data and find patterns and extract business insights that will help our customers improve operations.
  • Assist in writing programs to cleanse data with the purpose of integrating it into operations in a reusable manner.
  • Implement and validate predictive models, create and maintain statistical models and maintain a focus on big data.
  • Build partnerships with other departments while working in an Agile and collaborative team setting.
  • Evaluate results of data models and communicate results to internal and external customers (both technical and non-technical teams).

Benefits

  • health insurance coverage
  • wellness and family support programs
  • life and disability insurance
  • retirement savings plans
  • paid leave programs
  • education-related programs
  • paid holidays and time off
  • Many of these benefits are subsidized or fully paid for by the company.
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